Chapter 1. Research Framework
1.1. Research Objective
1.2. Product Overview
1.3. Market Segmentation
Chapter 2. Research Methodology?
2.1. Qualitative Research
2.1.1. Primary & Secondary Sources
2.2. Quantitative Research
2.2.1. Primary & Secondary Sources
2.3. Breakdown of Primary Research Respondents, By Region
2.4. Assumption for the Study
2.5. Market Size Estimation
2.6. Data Triangulation
Chapter 3. Executive Summary: ASEAN & Japan Smart Robots Market
Chapter 4. ASEAN & Japan Smart Robot Market Overview
4.1. ASEAN and Japan Smart City Project Investment Outlook
4.1.1. List of Major Projects
4.1.2. Cost Component Analysis
4.1.2.1. IT/ Smart Infrastructure Cost Element
4.2. Smart Technologies Adoption Trend in Smart Cities, By Application
4.3. Industry Value Chain Analysis
4.3.1. Hardware
4.3.2. Software Developers
4.3.3. Users
4.4. List of Key Ecosystem Participants
4.4.1. OEMs
4.4.2. Technology Vendors
4.4.3. Real Estate Developers/ EPCs
4.4.4. Government/ Regulatory Bodies
4.5. Technology Lifecycle
4.6. Porter's Five Forces Analysis
4.6.1. Bargaining Power of Suppliers
4.6.2. Bargaining Power of Buyers
4.6.3. Threat of Substitutes
4.6.4. Threat of New Entrants
4.6.5. Degree of Competition
4.7. PESTLE Analysis
4.8. Market Dynamics and Trends
4.8.1. Growth Drivers
4.8.2. Restraints
4.8.3. Challenges
4.8.4. Key Trends
4.9. Competition Dashboard
4.9.1. Market Concentration Rate
4.9.2. Company Market Share Analysis (%), 2019
4.9.3. Competitor Mapping
4.10. Analysis of Smart Robots, By Technology
4.10.1. Machine Learning
4.10.2. Artificial Intelligence
4.10.3. Natural Language Processing (NLP)
4.10.4. Machine Vision Technology
4.11. Pricing/ Cost Analysis
4.12. Impact Assessment of Covid-19
Chapter 5. ASEAN and Japan Smart Robot in Smart Cities Market Analysis, By Robot?Type (Form)
5.1. Key Insights
5.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
5.2.1. Drones
5.2.2. AGVs
5.2.3. Social Robots
5.2.4. Other Robotic/ Autonomous Systems
Chapter 6. ASEAN and Japan Smart Robot in Smart Cities Market Analysis, By?Component
6.1. Key Insights
6.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
6.2.1. Hardware
6.2.1.1. Actuators & Controllers
6.2.1.2. Camera
6.2.1.3. Sensors
6.2.1.4. Infrared Detectors
6.2.1.5. Speakers & Microphones
6.2.1.6. Power Systems
6.2.1.7. Others
6.2.2. Cloud (IoT) Platform & Robotic operating system
6.2.2.1. Public
6.2.2.2. Private
6.2.3. Services
Chapter 7. ASEAN and Japan Smart Robot in Smart Cities Market Analysis, By?Mobility
7.1. Key Insights
7.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
7.2.1. Stationary/ Fixed
7.2.2. Mobile
Chapter 8. ASEAN and Japan Smart Robot in Smart Cities Market Analysis, By?Application
8.1. Key Insights
8.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
8.2.1. Administration (Smart Governance)
8.2.2. Buildings
8.2.3. Commercial (Enterprise)
8.2.4. Construction
8.2.5. Education
8.2.6. Energy
8.2.7. Environment
8.2.8. Health
8.2.9. Homes & Living
8.2.10. Logistics
8.2.11. Manufacturing
8.2.12. Mobility (Transportation)
8.2.13. Retail
8.2.14. Safety & Security
8.2.15. Tourism & Leisure
8.2.16. Utilities (Public services)
8.2.17. Waste
8.2.18. Water
Chapter 9. ASEAN and Japan Smart Robot in Smart Cities Market Analysis, By City?Topography
9.1. Key Insights
9.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
9.2.1. Developed Economies
9.2.1.1. New
9.2.1.2. Existing
9.2.2. Emerging Economies
9.2.2.1. New
9.2.2.2. Existing
Chapter 10. ASEAN and Japan Smart Robot in Smart Cities Market Analysis, By?Geography
10.1. Key Insights
10.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn & Mn Units)
10.2.1. Japan
10.2.2. ASEAN
10.2.2.1. Indonesia
10.2.2.2. Malaysia
10.2.2.3. Philippines
10.2.2.4. Singapore
10.2.2.5. Thailand
10.2.2.6. Vietnam
10.2.2.7. Rest of ASEAN
Chapter 11. Japan Smart Robot in Smart Cities Market Analysis
11.1. Key Insights
11.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
11.2.1. By Robot Form
11.2.2. By Component
11.2.3. By Mobility
11.2.4. By Application
11.2.5. By City Topography
Chapter 12. Indonesia Smart Robot in Smart Cities Market Analysis
12.1. Key Insights
12.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
12.2.1. By Robot Form
12.2.2. By Component
12.2.3. By Mobility
12.2.4. By Application
12.2.5. By City Topography
Chapter 13. Malaysia Smart Robot in Smart Cities Market Analysis
13.1. Key Insights
13.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
13.2.1. By Robot Form
13.2.2. By Component
13.2.3. By Mobility
13.2.4. By Application
13.2.5. By City Topography
Chapter 14. Philippines Smart Robot in Smart Cities Market Analysis
14.1. Key Insights
14.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
14.2.1. By Robot Form
14.2.2. By Component
14.2.3. By Mobility
14.2.4. By Application
14.2.5. By City Topography
Chapter 15. Singapore Smart Robot in Smart Cities Market Analysis
15.1. Key Insights
15.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
15.2.1. By Robot Form
15.2.2. By Component
15.2.3. By Mobility
15.2.4. By Application
15.2.5. By City Topography
Chapter 16. Thailand Smart Robot in Smart Cities Market Analysis
16.1. Key Insights
16.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
16.2.1. By Robot Form
16.2.2. By Component
16.2.3. By Mobility
16.2.4. By Application
16.2.5. By City Topography
Chapter 17. Vietnam Smart Robot in Smart Cities Market Analysis
17.1. Key Insights
17.2. Market Size and Forecast, 2017 ? 2027 (US$ Mn)
17.2.1. By Robot Form
17.2.2. By Component
17.2.3. By Mobility
17.2.4. By Application
17.2.5. By City Topography
Chapter 18. Company Profile (Company Overview, Financial Matrix, Key Product?landscape, Key Personnel, Key Competitors, Contact Address, and Business?Strategy Outlook)
18.1. ABB Ltd.
18.2. Adept technology Inc.
18.3. Aethon?Inc.
18.4. Amazon robot
18.5. Apex Automation Inc.
18.6. Aurotek?Corp.
18.7. Boston Dynamics Inc.
18.8. Fanuc Corporation
18.9. Hanson robot Ltd.
18.10. Intuitive Surgical Inc.
18.11. iRobot Corporation
18.12. Kawasaki Heavy Industries
18.13. Kongsberg Maritime
18.14. Kuka AG (Midea Group)
18.15. Mitsubishi Robotics
18.16. OTC Daihen Inc.
18.17. Panasonic Industry Europe GmbH
18.18. Rockwell Automation Inc.
18.19. Samsung
18.20. Smart robot Holding B.V
18.21. Softbank Group Corp.
18.22. Staubli
18.23. Thales Group
18.24. Yaskawa Electric Corporation